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Project Manager, Business Systems​/ Tech Analyst, IT Project Manager

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: McDermott Will & Schulte
Full Time position
Listed on 2026-06-13
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, IT Project Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Position Summary

The Project Manager leads enterprise-wide initiatives that modernize the firm’s technology ecosystem and support AI-driven transformation. This role manages high-visibility programs involving SaaS platforms, custom applications, enterprise infrastructure, data ecosystems, integrations, platform modernization, GenAI deployments and AI-enabled capabilities to support seamless business solutions and workflow enhancements. The Project Manager partners with technology, business, innovation, and executive stakeholders to develop actionable delivery plans, communicate risks and value, evaluate competing priorities, and drive alignment across cross‑functional teams.

This position operates with minimal oversight and relies on significant experience, strategic judgment, and decision‑making skills to plan and accomplish objectives.

Essential Functions And Responsibilities Program / Project & Delivery Leadership
  • Lead enterprise‑scale tech, digital, and AI programs; own end‑to‑end delivery and governance
  • Manage scope, budget, timelines, risks, quality, and cross‑team dependencies
  • Lead medium‑to‑large‑scale technical, digital transformation, and AI‑enabled programs across the enterprise
  • Drive end‑to‑end delivery across software development, systems integration, infrastructure, and AI implementation work streams
  • Translate complex business objectives into actionable strategies, roadmaps, and measurable outcomes
  • Establish governance frameworks, delivery standards, risk mitigation plans, and executive reporting structures
  • Manage project scope, budgets, timelines, dependencies, quality controls, and stakeholder alignment throughout the project lifecycle
  • Build and maintain detailed project plans while balancing competing priorities, evolving business needs, and delivery commitments
  • Partner with technical teams to ensure solutions meet integration, security, governance, and operational readiness requirements
  • Maintain program documentation, audit readiness, and decision traceability for enterprise initiatives
Strategic Decision‑Making & Problem Solving
  • Drive prioritization, resourcing, issue resolution, and scalable solution recommendations
  • Anticipate challenges, mitigate risks early, and apply structured analytical judgment
  • Lead strategic decision‑making related to scope, prioritization, resourcing, sequencing, and delivery execution across complex technical and AI‑enabled initiatives
  • Evaluate operational, technical, business, and governance considerations to recommend scalable, sustainable, and enterprise‑aligned solutions
  • Proactively identify, assess, mitigate, and escalate risks, issues, and decision points while presenting actionable recommendations and resolution strategies
  • Apply a structured and analytical approach to problem‑solving by anticipating challenges, recognizing risks early, and developing practical solutions beyond the obvious
  • Exercise sound independent judgment with significant day‑to‑day impact on project direction, delivery strategy, and overall program success
  • Maintain the highest level of confidentiality and discretion regarding firm, client, and AI‑enabled information, systems, integrations, and data sources
Stakeholder & Team Leadership
  • Align executives, business, and technical teams; communicate clearly; resolve blockers
  • Motivate teams, foster accountability, and maintain delivery excellence
  • Serve as a trusted liaison between executive leadership, business stakeholders, technical teams, vendors, and external partners
  • Facilitate alignment across cross‑functional teams with competing priorities and complex decision‑making requirements
  • Present technical and AI‑related concepts, risks, tradeoffs, and recommendations to executive leadership in a clear and actionable manner
  • Lead and motivate project teams while fostering accountability, collaboration, and delivery excellence
  • Build strong relationships across business, technical, and governance stakeholders to support successful program execution
  • Deliver executive presentations, dashboards, status reporting, and communications that clearly reflect project health, milestones, risks, and outcomes
  • Resolve blockers, resource constraints, and delivery…
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